IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-030-78555-0_6.html
   My bibliography  Save this book chapter

Some Extensions to Interregional Commodity-Flow Models

In: The Co-evolution of Commodity Flows, Economic Geography, and Emissions

Author

Listed:
  • Kieran Donaghy

    (Cornell University)

  • Arash Beheshtian

    (Altum Group Advisors)

  • Ziye Zhang

    (Princeton University)

  • Benjamin Brown-Steiner

Abstract

Some interregional commodity-flow models, developed in the tradition of interregional input–output modeling, take on detailed characterizations of transportation networks to extend their explanatory reach, whereas others, developed in the tradition of spatial-interaction modeling, assume detailed characterizations of production. This chapter demonstrates how features of models within each of these two traditions can be integrated into two new specifications: a partial equilibrium static formulation and a dynamic formulation of production, location, and interaction. The chapter also introduces several extensions to extant commodity-flow models, including explicit treatment of trade in intermediate goods, so-called new economic geography behavioral foundations for production and interindustry and interregional trade, and endogenous determination of capital investment and employment. These extensions enable commodity-flow models to be used to analyze the impacts of recent structural changes.

Suggested Citation

  • Kieran Donaghy & Arash Beheshtian & Ziye Zhang & Benjamin Brown-Steiner, 2021. "Some Extensions to Interregional Commodity-Flow Models," Advances in Spatial Science, in: The Co-evolution of Commodity Flows, Economic Geography, and Emissions, chapter 0, pages 85-98, Springer.
  • Handle: RePEc:spr:adspcp:978-3-030-78555-0_6
    DOI: 10.1007/978-3-030-78555-0_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:adspcp:978-3-030-78555-0_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.